if (array_attr == nullptr || array_attr.size() != N) {
    return func->emitWarning()
           << "'" << attr_name << "' attribute for " << kMaxUnpooling
           << " must be set and has size of " << N;
  }
  for (Attribute integer_attr : array_attr.getValue()) {
    IntegerAttr value = mlir::dyn_cast<IntegerAttr>(integer_attr);
    if (!value) {
      return func->emitWarning()
             << "'" << attr_name << "' attribute for " << kMaxUnpooling

  if (func_.getNumArguments() < 5) {
    return func_.emitWarning()
           << "Invalid number of arguments to "
              "non_max_suppression_padded_v2 (need at least 5): "
           << func_.getNumArguments();
  }
  if (func_.getFunctionType().getNumResults() != 2) {
    return func_.emitWarning() << "Invalid number of results from "

    // There are cases where no rewrites happen even if a pattern matches,
    // causing this to result in a convergence failure. Consider this as a
    // best-effort.
    module_op.emitWarning("Failed to converge pattern at QuantizePass.");
  }
}

}  // namespace

    return success();
  }

  if (mlir::isa<::mlir::FloatAttr>(attr)) {
    fbb->Double(key, mlir::dyn_cast<mlir::FloatAttr>(attr).getValueAsDouble());
    return success();
  }

  return op->emitWarning("serialization not supported for : ") << key;
}

TFL::CustomOp BuildCustomOp(stablehlo::CompositeOp composite,
                            const std::string& custom_option_buffer) {